Blending of Traditional System and Digital Pedagogy: An Indian Perspective
Proper embedding of digitized facilities in traditional teaching–learning system is a salient characteristics of modern pedagogy. State-of-the-art computing is greatly influenced by computational intelligence. The chapter is a study on changing scenario o
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Arpan Deyasi · Soumen Mukherjee · Anirban Mukherjee · Arup Kumar Bhattacharjee · Arindam Mondal Editors
Computational Intelligence in Digital Pedagogy
Intelligent Systems Reference Library Volume 197
Series Editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland Lakhmi C. Jain, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia; KES International, Shoreham-by-Sea, UK; Liverpool Hope University, Liverpool, UK
The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching, Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia. Indexed by SCOPUS, DBLP, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science.
More information about this series at http://www.springer.com/series/8578
Arpan Deyasi Soumen Mukherjee Anirban Mukherjee Arup Kumar Bhattacharjee Arindam Mondal •
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Editors
Computational Intelligence in Digital Pedagogy
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Editors Arpan Deyasi Department of Electronics and Communication Engineering RCC Institute of Information Technology Kolkata, India Anirban Mukherjee Department of Information Technology RCC Institute of Information Technology Kolkata, India
Soumen Mukherjee Department of Computer Application RCC Institute of Information Technology Kolkata, India Arup Kumar Bhattacharjee Department of Computer Science and Engineering RCC Institute of Information Technology Kolkata, India
Arindam Mondal Department of Computer Application RCC Institute of Information Technology Kolkata, India
ISSN 1868-4394 ISSN 1868-4408 (electronic) Intelligent Systems Reference Library ISBN 978-981-15-
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